Toward Quantum Computational Agents

Matthias Klusch

Klusch

Satish Kumar Satti, Kothandapani Suganya Devi, Naresh Babu Muppalaneni +1 more

Agentic artificial intelligence (AI) is a type of AI in which machines act like intelligent agents. These agents can observe their surroundings, learn from experience, think, and make decisions to achieve a goal. As AI agents are used in more complex tasks, normal computers often find it difficult to process large amounts of information quickly. Quantum computing is a new kind of computing that uses special rules of physics to solve certain problems faster than traditional computers. This chapter explains how quantum computing can act as a catalyst, or a powerful helper, for improving agentic AI. It first introduces the basic ideas of agentic AI and AI agents and then explains the key concepts of quantum computing in a simple way. The chapter shows how quantum computing can help AI agents learn faster, make better decisions, and find better solutions. It also discusses real-world applications, current limitations of quantum technology, and future possibilities. Overall, this chapter highlights how quantum computing can play an important role in building smarter and more capable AI agents.

John A. Reisner, Eric Donkor

We evaluate how quantum computing can be applied to security problems for software agents. Agent-based computing, which merges technological advances in artificial intelligence and mobile computing, is a rapidly growing domain, especially in applications such as electronic commerce, network management, information retrieval, and mission planning. System security is one of the more eminent research areas in agent-based computing, and the specific problem of protecting a mobile agent from a potentially hostile host is one of the most difficult of these challenges. In this work, we describe our agent model, and discuss the capabilities and limitations of classical solutions to the malicious host problem. Quantum computing may be extremely helpful in addressing the limitations of classical solutions to this problem. This paper highlights some of the areas where quantum computing could be applied to agent security.

Prateek Tandon, Stanley Lam, Ben Shih +3 more

Alexis Kirke

This paper introduces MIq (Multi-Agent Interactive qgMuse), which builds on the single agent quantum system qgMuse using teleportation. MIq is the first attempt at a real-time interactive quantum computer music algorithm that utilises the quantum advantage. Previous interactive or real-time quantum music algorithms running on quantum computers have been mappings of classical computing algorithms, with no quantum advantage obtained. MIq provides a quadratic speed-up over classical methods. It is a Quantum Hybrid Multi-agent System architecture implemented on 5 and 14 qubit quantum hardware. Classical agents and quantum agents connect via a classical/quantum hybrid agent that enables communication using quantum teleportation.